**The impact of thin and thick truth: The limits of truth commission design in polarized societies
**Lesley-Ann Daniels and Virginia Zalunardo
**Journal of Human Rights

**DO FILE 
*run on stata 17

********************************************************************************

**ANALYSIS


*Figure 1 *bad to disturb past - political affiliation in 3 categories, right-wing as 7-10 in CIS survey

reg DVbad_disturb_past i.polor3c##i.treatment i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.polor3c#i.treatment, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) yline(50) )


*Figure 2 *victims pass page - with interactions - political affiliation in 3 categories

reg DVvictims_pass_page i.polor3c##i.treatment i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.polor3c#i.treatment, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) yline(50) )


*Figure 3 *society pass page - with interactions - political affiliation in 3 categories

reg DVsociety_pass_page i.polor3c##i.treatment i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.polor3c#i.treatment, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) yline(50) )


*Figure 4 *groups live together - with interactions - political affiliation in 3 categories

reg DVsocial_rec i.polor3c##i.treatment i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.polor3c#i.treatment, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) yline(50) )



*ROBUSTNESS CHECKS

*Results with binary variable for political affiliation - right-wing and all else, right-wing as 6-10 in CIS survey
*Figure 1 *bad to disturb past - political affiliation in 2 categories
reg DVbad_disturb_past i.treatment##i.right_wing i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.treatment#i.right_wing, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) )
*Figure 2 *victims pass page - with interactions - political affiliation in 2 categories
reg DVvictims_pass_page i.treatment##i.right_wing i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.treatment#i.right_wing, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) )
*Figure 3 *society pass page - with interactions - political affiliation in 2 categories
reg DVsociety_pass_page i.treatment##i.right_wing i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.treatment#i.right_wing, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) )
*Figure 4 *groups live together - with interactions - political affiliation in 2 categories
reg DVsocial_rec i.treatment##i.right_wing i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.treatment#i.right_wing, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) )


*Results with binary variable for political affiliation - right-wing and all else, right-wing as 7-10 in CIS survey
*Figure 1 *bad to disturb past - political affiliation in 2 categories
reg DVbad_disturb_past i.treatment##i.right_wing_2 i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.treatment#i.right_wing_2, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) )
*Figure 2 *victims pass page - with interactions - political affiliation in 2 categories
reg DVvictims_pass_page i.treatment##i.right_wing_2 i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.treatment#i.right_wing_2, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) )
*Figure 3 *society pass page - with interactions - political affiliation in 2 categories
reg DVsociety_pass_page i.treatment##i.right_wing_2 i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.treatment#i.right_wing_2, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) )
*Figure 4 *groups live together - with interactions - political affiliation in 2 categories
reg DVsocial_rec i.treatment##i.right_wing_2 i.female i.age3c i.edu4c i.church i.institutions i.vote i.victim
margins i.treatment#i.right_wing_2, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) )


*Results without control and counfounding variables
*Figure 1 *bad to disturb past - political affiliation in 3 categories, right-wing as 7-10 in CIS survey
reg DVbad_disturb_past i.polor3c##i.treatment 
margins i.polor3c#i.treatment, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) yline(50) )
*Figure 2 *victims pass page - with interactions - political affiliation in 3 categories
reg DVvictims_pass_page i.polor3c##i.treatment 
margins i.polor3c#i.treatment, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) yline(50) )
*Figure 3 *society pass page - with interactions - political affiliation in 3 categories
reg DVsociety_pass_page i.polor3c##i.treatment 
margins i.polor3c#i.treatment, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) yline(50) )
*Figure 4 *groups live together - with interactions - political affiliation in 3 categories
reg DVsocial_rec i.polor3c##i.treatment 
margins i.polor3c#i.treatment, plot(recast(scatter) ytitle(Agree percentage, margin(small)) xtitle("") graphregion(fcolor(white)) plotregion(margin(vlarge)) yline(50) )


